The course examines the collection, classification, processing, presentation, analysis and interpretation of various data with the ultimate purpose of extracting sound conclusions for making informed decisions.

The lesson is laboratory in an equipped laboratory area that ensures student access to computers and special SPSS software. Thus, students acquire a comprehensive and realistic understanding of statistical applications in the daily practice.

The objectives of the course are: familiarization with the description of statistical data with frequencies, cumulative frequencies, statistical tables, graphs, as well as the development of skills related to the use of linear regression and correlation in the prognosis, also the operation of statistical packets for the use standard allocation, case control and the use of statistical tests and the development of skills with the ultimate aim of producing safe conclusions for making decisions.

Week #1: Introduction to SPSS

Week #2: Tables and charts

Week #3: Average deviation and dispersion

Week #4: Forms of distributions

Week #5: Relationships between two or more variables

Week #6: Relationships between two or more variables

Week #7: Correlation coefficients

Week #8: Regression

Week #9: t test dependent samples

Week #10: t test independent samples

Week #11: Confidence intervals

Week #12: Non-Parametric Test

Week #13: χ2: Differences between samples with frequency data

Laboratory: After the completion of the course's Laboratory, the student will be able to:

• Explain the basic principles governing statistics in the context of education
• Assess the usefulness of statistics as a means of professional development
• Understand the Average and Dispersion Indicators
• Organize the data of an investigation
• Describe the data of a survey
• Graphically present the data of a survey
• test control and use of statistical tests

• Π.Ρούσσος- Γ.Τσαούσης: ‘Statistics in the Social Sciences’, Publications Greek Letters Athens 2001.
• HOWITT, D. - CRAMER, D. ‘Statistics with SPSS’, Kleidarithmos Athens 2006.
• XANTHOS, C. ‘Using Excel for Statistical Analysis’. Stamouli Publications Athens 2005.
• Λουκάς, Σ.’Statistics’, Critical Publications

Use of ICT in teaching and in laboratory education

-

• Written Examination with Short Response Questions (Formative, Concluding)
• Written Examination with Extended Response Questions (Formative, Concluding)
• Written Problem Solving (Formative, Concluding)